Who's Who of AI

Emily Riederer

137 trust @emilyriederer.bsky.social · 9,328 followers

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Here for data, data science, analytics engineering, rstats, books

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cloud.google.com/blog/product... I sometimes like to imagine that AI is a psyop just to get people to improve documentation by elevating markdowns to “serious engineering”

How the Open Knowledge Format can improve data sharing | Google Cloud Blog cloud.google.com

AI Weekly's analysis →

Google Cloud released Open Knowledge Format v0.1, a vendor-neutral spec representing AI context as a directory of markdown files with YAML frontmatter.
Reference implementations include an Enrichment Agent for BigQuery, a static HTML visualizer, and sample bundles for GA4, Stack Overflow, and Bitcoin public datasets.
Authors Sam McVeety and Amir Hormati frame OKF as format-not-platform and call v0.1 a starting point, not a finished standard.

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View on Bluesky · ♥ 20 ↻ 3 ↩ 1 · 3 from the directory shared this · 63d ago

Great post on how agents translate pandas -> polars syntactically correctly but myopic line-by-line translation misses core design philosophy Polars team offers SKILLS to fix, but more broadly a testament to the value of understanding a tools ethos not just its syntax pola.rs/…

Fluent, not native: agents translating pandas to Polars pola.rs

View on Bluesky · ♥ 11 ↻ 0 ↩ 1 · 46d ago

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Recent commentary

Throwaway thought, but it’s wildly unhelpful to use AI as a catch all for everything from transformer-based sequence models to agentic coding assistants to LLM generated docs. I suspect sentiment varies a ton across those and lumping them together doesn’t make for a productive conversation

View on Bluesky · ♥ 46 ↻ 7 ↩ 6 · 21d ago

Last night I tracked down Jenny Bryan’s absolutely lovely 2019 UseR! keynote on Code Smells (worth the watch, btw!) riffing off of Martin Fowler Confronting more AI slop documents this morning, may is suggested we adopt the “Claude smells”?

View on Bluesky · ♥ 23 ↻ 1 ↩ 2 · 4d ago

I love the causal ML literature but my most lukewarm take is that we gotta rebrand “nuisance models” as “nuance models”. No reason to insult intricate models that are dealing with quite a lot of complexity for you

View on Bluesky · ♥ 8 ↻ 1 ↩ 0 · 74d ago

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